Martin Lackmann

5.6k citations
70 papers · 4.3k indexed · h-index 37

Impact in

Papers in

Martin Lackmann

70 papers receiving 4.2k citations

Peers

Martin Lackmann
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 2.4k
  • Cell Biology 1.2k
  • Developmental Neuroscience 244
  • Immunology and Allergy 256
  • Analytical Chemistry 366
Replace Peter W. Janes with:
Peter W. Janes Australia
Waldemar Debinski United States
Paul Stroobant United Kingdom
Jane McGlade Canada
Pablo Rodriguez‐Viciana United States
Nhan L. Tran United States
Andrew Freywald Canada
Ken Aldape United States
Anna F. Farago United States
Yosef Yarden Israel
Martin Lackmann relative to Peter W. Janes Australia Peter W. Janes's profile →
Citations per field
00.5×3.3×
Peter W. Janes · 1×
Citations per year

Countries citing papers authored by Martin Lackmann

Since Specialization
Citations

This map shows the geographic impact of Martin Lackmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Lackmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lackmann more than expected).

Fields of papers citing papers by Martin Lackmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Lackmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Lackmann. The network helps show where Martin Lackmann may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Martin Lackmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Lackmann Line = papers co-authored together Martin Lackmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201628
2 201467
3 201418
4 2012163
5 201276
6 201175
7
Improving SIFT's performance by incorporating appropriate gradient information
20112
8 2010208
9 200835
10 200563
11 2004107
12 2004368
13 2001262
14 200014
15 199946
16 199951
17 199846
18 199693
19 199434
20 199445

About Martin Lackmann

Martin Lackmann is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Analytical Chemistry, Molecular Biology and Developmental Neuroscience, having authored 70 papers that have together received 4.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (44 papers), Angiogenesis and VEGF in Cancer (18 papers), Hippo pathway signaling and YAP/TAZ (15 papers), Chromatography in Natural Products (9 papers), HER2/EGFR in Cancer Research (8 papers), S100 Proteins and Annexins (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Cell Biology (1.2k citations), Developmental Neuroscience (244 citations), Immunology and Allergy (256 citations) and Analytical Chemistry (366 citations). Martin Lackmann has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Andy Boyd, Peter W. Janes, Dimitar B. Nikolov, Sabine Wimmer-Kleikamp, Juha‐Pekka Himanen, Eva Nievergall, Perry F. Bartlett, Mark Henkemeyer, William A. Barton and Christopher Vearing. Their work appears in journals such as Blood, Journal of Biological Chemistry, The Journal of Cell Biology, Journal of Cell Science and Growth Factors.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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